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RFP advertised: October 5th, 2026
Questions due: October 12th, 2026
Addendum issued: October 16th, 2026
Proposals due: October 26th, 2026
Demonstrations: November 19th–24th, 2026
Notice of Award: December 1st, 2026
Agreement execution and project kick-off: December 2026
Primary procurement contact — name, title, email, and phone
Additional decision-makers and their departments
Loudoun Water
The issuing organization is seeking a software-as-a-service artificial intelligence solution that extracts equipment nameplate data from photographs and produces human-validated asset master data records in Asset Loader format. The solution will support the Operations and Maintenance–Asset Management team and must enable field staff to capture nameplate photographs using managed iOS or Android mobile devices and tablets.
The solution must automatically extract, at minimum, manufacturer, model number, serial number, and asset type. Photographs must be retained and associated with the resulting asset records. The system must provide a complete, exportable audit trail covering image submissions, extraction results, confidence scores, reviewer identities, review changes, and export events. AI-extracted data must pass through a configured human review workflow, with AI-generated and human-verified values clearly distinguished in both records and audit logs.
Implementation must include configuration of Microsoft Entra ID single sign-on. Reporting capabilities must include dashboards and exportable reports covering extraction accuracy, data completeness, records created, review queue volume and aging, and per-user field productivity. Questions must be submitted no later than October 12, 2026.
Analysis generated by Settle AI from the source RFP.
Settle pieces together buyer signals, budgets, contract activity, and the sources your team already monitors. See why an opportunity fits and what to do before the RFP posts.